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研究生:祝祥凱
研究生(外文):Hsiang-Kai Chu
論文名稱:多成分程序網路警報系統之設計
論文名稱(外文):Optimal Alarm Logic Design for Component-Flow Networks
指導教授:張玨庭張玨庭引用關係
指導教授(外文):Chuei-Tin Chang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:化學工程學系
學門:工程學門
學類:化學工程學類
論文種類:學術論文
論文出版年:1999
畢業學年度:87
語文別:中文
論文頁數:97
中文關鍵詞:多成分程序網路警報系統多成分程序網路警報邏輯數據調和
外文關鍵詞:Optimal Alarm Logic Design for Component-Flow NetworksComponent-Flow NetworksAlarm LogicReconciliation
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摘要
在本論文中,我們提出一個能充分利用多成分流動網路中既有硬體和空間重複性的最適警報系統設計方法。具體而言,我們發展出一套系統化的步驟,可以找出程序中任何管流的成分流率的獨立測量方法,並合成對應的警報邏輯,而為了應用此一警報策略,我們也推導出計算類型I和II誤判條件機率的公式。應用的結果顯示,本論文所提出之策略可有效地減少類型I和II的誤判,由於可依據設計者需求,適當地將期望損失最小化,此一系統應優於任何現存警報技巧。

Abstract
An optimal alarm system design method, which takes full advantage of the inherent hardware and spatial redundancies in a mass and component-flow network, has been proposed in this study. In particular, systematic procedures have been developed to identify independent measurement methods for the component-flow rate of any stream in the process and to synthesize corresponding alarm generation logic. In order to implement the suggested alarm strategy, the formulas for evaluating conditional probabilities of type I and II mistakes have also been derived. The results of applying the proposed alarm system to the application example show that the approach taken in this work is effective in suppressing the type I and/or II mistakes. Further, this system is superior to any of the existing alarm techniques in the sense that it can be appropriately tailored to minimize the expected loss due to misjudgments in generating alarms.

目 錄
中文摘要 . . . . . . . . . . . . . . . . . . . . . . . . . . .i
英文摘要 . . . . . . . . . . . . . . . . . . . . . . . . . . .ii
目錄 . . . . . . . . . . . . . . . . . . . . . . . . . . . .iii
表目錄 . . . . . . . . . . . . . . . . . . . . . . . . . . . .v
圖目錄 . . . . . . . . . . . . . . . . . . . . . . . . . . . .vi
符號說明 . . . . . . . . . . . . . . . . . . . . . . . . .viii
第一章 緒論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1
第二章 數據調和及補正 . . . . . . . . . . . . . . . . . . . . .5
2.1程序圖與程序網路 . . . . . . . . . . . . . . . . .5
2.2 程序網路中的限制式 . . . . . . . . . . . . . .10
2.3質量平衡數據調和方法 . . . .. . . . . . . . .15
2.4 質能平衡數據調和方法 . . . . . . . . . . .. .19
2.5 質能數據補正 . . . . . . . . . . . . . . .. . . . . .27
2.6 成分平衡數據調和補正 . . . . . . . . . . . .43
第三章 多成分最適警報邏輯之發展 . . . . . . . . . . .53
3.1成分流誤差模式 . . . . . . . . . . . . . . . . . . .53
3.2臨界限制 . . . . . . . . . . . . . . . . . . . . . . . . .58
3.3獨立測量方法的識別 . . . . . . . . . . . . . . .60
3.4 最佳警報邏輯的合成 . . . . . . . . . . . . . . .74
3.5 線上或然率估算 . . . . . . . . . . . . . . . . . . .78
3.6 實例測試 . . . . . . . . . . . . . . . . . . . . . . . . .81
第四章 結論與展望 . . . . . . . . . . . . . . . . . . . . . . . . . 92
4.1 結論 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .92
4.2 展望 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .93
參考文獻 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .95

參考文獻
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